{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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ECXr54hM8c/Y5AHZaF9g3J7E+F8bfi5fL+//Ww9+4ax/aFGt1fccY8v51lpPHMhacwMc6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\nHFcJQPEA1rnza1KeKO9cSnIBXWZHWroP6ocCLmPvmAqgWdMRqcKjEO6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E1Dp0OuIoRsYf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kEyMzjRQMYHaFVFEJymFBMNj1UWdGFR8+mdOx6nzllWnnLOr+f58FpUIxZFIUxOtZDj9Ag24A28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GyYmhynd2dqxoZ5Zl1vsThuEZzacSjuNYCm86nVp6azqd2r6fpqn1cHU6HSu2OR6PLaXo+76l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\ntgvXocG+++jQhAw7wsfhLr0Hz5WQgjMPBwNortPJsi6aDXono14fG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VF5zWF/x8zBGhFi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SIdpqxIShOATrAEeShIFjqYwxLjrM933Hqvn+fO0sdOHYztzMS8IsgzRJHtkzimLusFyy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\noaFxDehgSkNDQ0NDQ0PjGvg/C79ylhmJ0eAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x224c39b7780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ojo+PAZicnKTb7bK3t8fe3h5msxmTycSTJ09kH7jdbnK5HKenp4JqpdNpTCYTZ2dnmM1m\n9vb2yGQyFAoFkskkOzs7WK1W2u02iUQCnU7H0dERZ2dnDA4Oks1mmZiYYH19HYfDwbNnz6jVapJY\nqu9UFZ5CpGq1GrVaDY1Gw8nJCbOzs+TzebLZrASs4+Njer0e6XSaTqeD1+vl7OyMzc1NcrkcFouF\nbDbLkydPMBqNbGxsoNfrpWqNRqN0u13S6TSZTEaCqdr7qkJutVqUy2XW19epVqtsbm5iMBhIp9M0\nGg1BeNxuN4VCgePjY/x+P4eHh5Lklctldnd3KRQK7O/vA0iCm0wm6Xa7bGxsAEgiUqlUsFgsxONx\nSqUSJycnmM1m0uk0sVhM9rxCJR4/fkwmk2FiYoLNzU3MZjPj4+Ps7e2Rz+eJRCKMjIywubkpwVqn\n02EwGNjZ2SGdTpPNZul0OnJ2Dw4O8Hq9gvzUajWmpqbY39+XIKiSE4UatFot2UfqPD5+/JhAIIBO\npyMWi9FutxkaGqJYLMr/Dw8P2dra4m//9m+xWCxMTExwfHzM4eEhDoeDfr/P2dkZ2WyWYDBINpul\nUqmQyWQYHh4mk8mQTqfZ3d2VgrNSqZBIJGi1WtTrdUGP8/m8nEWTycTx8TETExNS1CYSCSqVCm63\nm6OjI2w2G7u7uxwfH1Mul+Uee70eBwcHEnAVSqP2T7FYlHXR6/U4HA4ymQxWq1XWuN/vk0wmSafT\n7O/v0263qVarnJycEA6H+fzzz9na2kKr1RKLxfB6vTx//pyJiQlJVrLZLLlcjng8zujoKC6Xi1Kp\nhNvtJpPJcHh4iE6nk6Cv1mZtbY0nT54wNDSETqfj888/x+FwUCgUyGQy7O/vk8/nmZiYIBKJMDAw\nwOnpKclkknw+j8fjoV6vUygUGBoa4uDggFwuh9lsJhqNMjQ0xNbWFmNjY2QyGY6OjjAYDFSrVVKp\nlCCPkUiEdrvN9vY2fr8fQIrFk5MTBgYGsFqtnJyc0Gq1iEajaDQaWq0WY2NjbG9vE4lEMBqN6PV6\nxsfHiUajZDIZKZCi0SiFQkGSa4WgRqNRnE4n8XicXq9HoVCQeKmAjnK5TLPZZGNjA5PJhNvtptFo\nsLGxQS6XIxgMEo1GKRaLtNttNjY2GBsbY39/n0wmw+7uLoAg3crPpNNpWq0WGxsbmM1mWZ+DgwPZ\n/+VyGYCNjQ3sdjt+v590Ok2z2cThcGAymQiHw8zMzNBut2k0GjSbTfL5PC6XiydPnpBIJNjb22N+\nfp5yuUyn0xE/+us03Ycffvhr/9APP/yw96/+1b/aB/4v4P8E/rTf7//F/+zn//W//tcfvvnmmzQa\nDcrlMqlUCqfTybNnz+j1elSrVWZmZohGowwMDFCpVGThY7EYzWaTdDot7T0F2Xq9Xvb39zEajUSj\nUYHCa7UahUJB4Fi3200+nxfovFwuo9FoMJlMxGIxcTqbm5v4/X62t7cloVNJYqlUIpPJMDY2xs7O\nDna7nYODA5LJJAMDAwIlf/7556ysrNDtdonH41QqFYFG+/0+nU6HfD5POp0mGAxSqVQwm82CgPT7\nfXFoiUSCfr8v7RvlrFRwByiXy2i1WgYGBkgkEoyMjFCr1bBarYLAlEoljEYj+/v70p5TzqZYLBII\nBKjVarRaLTweD1qtVoLN6OioJHz7+/sUi0VpV+bzefL5PJcvX5bERjmRg4MDLl++TDgclopbVfq9\nXk8QzHK5jE6nI51OCwxerVbFeWg0GtxuNwCJRILBwUHK5bJA65FIRFq1iUSCarVKtVql3W4zNTVF\nrVajXq+TTCaxWq1yfel0GovFQqFQwGg0Sivp4cOHUiUlEgk8Hg+pVEqSj3A4jM1mI51Ok0wm5fOS\nySSlUgmtVks2m8XtdksSpZy3SsxUS9flclGr1aR9kcvlmJ6eZmtri5mZGTY2NgR1Ua2fTCaDw+Eg\nlUoxNjaGXq+n0WhIMC8Wi/LdCvHMZrMS4I6Pj/F6vYK4Hh0dodFoGB0dpdVqSeu70WhIEeNwOOh2\nu+RyObrdruzPVqtFtVplbGyMo6MjAGnHGI1GCoUC/X6fSCRCuVymVCrRaDSIx+OC/pVKJWn5b25u\n0u/3cTgcRCIRms2mBDx1brxerxQDal+fnJyQy+VkXUwmE1qtluPjY5rNJmazWc6Jw+GgXq/jdrtJ\nJBKSDMbjcaxWKx6PR1pmKhEsFovYbDYACfBqXYrFIgMDAySTSWm1tlotSUQdDock6y8n/zabjcPD\nQ9rtNt1ul5mZGUqlEuFwGK1WKyhau91meHiYaDQqCahqRTkcDk5OTnC5XBwcHDAyMsLExAS9Xo/x\n8XFOTk4EnVFolmpHVatVSSwbjQZ6vV7aZDabjUajweHhIfV6XVrfGo2GYrGI0WhkcHAQt9vN1tYW\n6XSafr9PPB6XgjAWizE6OkqpVGJra0tagvV6nVqtht/vp9vtYjabJblWwd7pdEqSmEqlWF1dlWI7\nEAhgMBjkWat9USwWsdvt4i/y+TzJZFIS/kqlgt/vp1arUSqVJFlzOp1YLBb6/b78ncfjYXh4WBLy\ns7Mz/H6/7OXBwUFmZ2dJJpMkEgkptqvVqiBS5XJZCuZarSZt/mw2K63sQCBAPp8nGo0K+l+tVgkG\ng5ydnQkVQrUYPR4P29vb5PN5CoUCOp1O9nsikUCr1QpidnJyIuCFsoGBAarVqiBECkn1eDxCcQiF\nQhKrUqkUbrebYrEo924wGHA6nZjNZpLJpFASVDs/EAhwcnJCIBCg0+mQzWap1Wo4HA6ePHlCo9HA\n4/FQqVQkFnW7XSkaOp0OhUJBEkRF/0kmk9IZKxaLaLVaNjc3JaFWLdZGo0EwGKTf79NqtSgUCoyP\nj4u/TyaTsq6Li4uUy2WJv3q9nkKhwCuvvML+/j6JRCLx4Ycf/vtfV970G+OM9fv9vwL+6v/VRej1\naLVagc3dbjcOh4Pp6WlsNhu5XA6Px4Pb7WZoaIh8Pk+73cZqtcpmGBgYoNfr4Xa7qVarmM1m+v0+\noVCIfr/PysoKgPxsLpfD6/Vit9vFOddqNQKBgHDFGo0Gg4ODEgzHxsbw+/2Mj48DiGP2+/0SsFQL\nUyV+TqdTghvA0tISoVCIbDYrvXy3243VasVms1Gr1RgcHMTr9eJyueh2u4yOjlIulyVR8fv95HI5\nZmdn6fV65HI5xsa+7AqrYGg2mxkcHMRqtVIulxkbG5N1UXwHn88n32k2m/H5fNTrdWlrDg4Okkwm\n5fANDAxIMmswGBgbG5PArtfrhdNlt9uFw2Kz2fB6vYRCIQCpxkKhEIODg1SrVeEvKBTFZrNJm1L9\nWqE+nU4Hj8fD5OQkbreber2O3++XBNLr9dLv9/F6vXg8HkqlElarVfgRBoNBWjYul4ujoyNBQdTP\nOBwO4eEo/onRaMRgMDA9PU2tVmN0dFRaRiowqjVUz1utv8FgEC6Y3W7HbrdjMBgE8h8eHpa9qxI9\n1UZRz1tVsqFQiFAoJKiqgt0VUqz2qeItKg5IKBQS1MDpdEoAbTQagrj2ej0cDgcjIyPU63Wq1Spu\nt1sq60qlIudV8ZB8Ph+FQoGFhQUODg4YGBgAvuSqqCo4GAzy+PFj/H4/JpMJp9NJtVoln89Lq0C1\nP1OpFD6fT1omfr9fztnY2NhX+J6qla8QApVQBQIB6vU6DodDArvFYhEkYmBgQPyGav+Pjo5KIJmY\nmPhKsqxQP51ORyAQoNFoSItYJQvqOjweD8ViUdbTYDBgNpsZGhrC5/ORy+WYmJigUChgtVplP6iA\n73a7GR4eRqvVkkqlcLlc4iMajQahUAi9Xi97Un1XKpWSNWu324yNjUkS7PF4CAQCDA0NSfJms9mE\nB2e1WhkaGgJgenpaEJJOpyNny2Qy4fP56Ha7eDweQT0VmqcSZqPRiNvtxmg0EgwGGR4eRqfTYTQa\nGRgYoNvtUigUmJycxOfzYTabmZ6elnPm9Xqp1+uyHjqdjm63SyAQQKvViv9Sa1CtVhkaGiIej+P3\n+wWVVmikz+fD5/NRKpXwer3Cgx0bGxP0cXh4GIPBgM/nk+JpbGxM+Ggq8Hs8HiwWCwMDA3Q6HXw+\nH1arFYfDgcfjEZ7i+Pi4fJ5CXr1er3AHVfxIp9NCQVGcMI1Gw8jIiOyNwcFBnE6ntIGVj+n3+1IA\nqYLM5XIJx0z5JFVAA9hsNvm18uXq+hRlQfHB1F7OZrMMDQ0JKDI4OChdE8WRzufzcnaGhoaEQ10q\nlRgcHMRisUgMUYWzy+UinU4zOjoq51vRiEZGRsSPVyoVhoeH0Wg0uFyur3CEW62WnEmbzSb+otFo\n0Ov1GBoawmazyd7wer1SoAUCASKRCKOjo4yMjNDr9RgcHJRiT3UnUqkUoVBIfILT6cRutzM2Nsbj\nx4//F7Oi/2f7jSBj/6v2ox/96EO/38/Dhw/x+/0Ui0WWlpb4L//lvzA7O4vNZuP4+BiNRiMIlF6v\nZ2hoCKPRSC6XE/IqfHkQg8EgBwcHcsgfPnzI2NgYJpOJaDTK9PQ0Gxsbkh0nEglCoZC02xKJBFeu\nXMFkMnFycsLdu3f5+OOPBepXyY/ifHi9Xh4/fszNmzf55S9/yfXr1ymVSrhcLj7//HPh5Tx9+pTj\n42NisZjwQlwuFw8ePCASiXDjxg02NzfZ3NyUjD+fz0tguHjxIsfHx4yNjbGxsUEymcRkMlEoFACY\nn58X/lWtVmNvb4/x8XG2trYks+/1euzt7WE0GkmlUvj9fkEYZ2dnCYfDAmer9q+Co58+fYrL5cLt\ndvP48WPK5TKBQIBgMCgoltfrZW9vD5fLJRCzgt3dbjelUknaXMFgkOPjY6rVKrlcjuvXr0v7yOFw\nEAwGefLkCZlMhunpaUH0MpmMIIjFYpFKpYLT6RQe0O7uriQ3qpXbaDQ4PT1Fr9fjdrs5PT3FYrFg\ns9k4OjoSTko8Hhd0UVXMsViMt99+m5/+9KeCzj5//pzBwUEJRmpvDgwM4HK5ODk5kaCpEgP1nBQX\nZ3R0lKOjI0EPTCYTe3t7AOzt7XH37l2Ojo4wGo2cnp4Sj8cJh8NYrVY0Go2gN+l0mrOzMxwOB/l8\nnmq1SiaTYW9vT/bd6empcAC3traETF8sFvF4PPh8Pg4PDwmHw+zt7fHee++xt7dHNpsVLpLX6xVU\nwev1cnR0hNVq5YsvvmBxcZFIJCLcS8WtUyi22Wzm008/pVwuCyqmzrBCKJLJpLRnFLJtMpmEZ7a9\nvU2pVGJ0dFTazuPj40KIVoRjRfTO5/OCkjgcDqrVKjs7O7JOlUqF+fl5fv7zn+N2u+l2u3z66afk\ncjlsNhuhUIh0Ok2pVGJ5eZm/+qu/QqfTkUgkcDqdwjV6+vQp4XAYk8lEPp/HaDTyxRdfCPG9UCgI\nv/HnP/85U1NTgkKoCt5ms6HX64lGozx69AitVsvo6Ci/+tWv6Pf7BAIBNjc3BdFXKOfR0RHLy8uc\nnJywv78vRORSqcTp6Sk2m41yuSxIXjgclnOqEqOHDx9y8+ZN/uZv/kba94ODg+KnIpGIDK/s7+/L\ngILZbBYivUr+w+EwmUwGu91OMpmk1+tx9epVDg8PSSQS0vKv1+tcu3aNv/u7vxO0zWq18vTpU1nz\nWCxGtVqVvXt2diZDHCrIb29vMzU1xaNHj2i1WpRKJW7fvk0mk2FkZIRf/OIXLC8vs7m5Sa1WIxQK\nSeF2cHAg7bsXL14IFSYSidBqtYSHd+3aNdbX1ymXyyQSCaampnA4HGxubgqRXrXYj46O5Hyfnp4y\nNzfH9vY2LpcLq9XK/v4+sViMwcFBQcUWFxc5OTnBYDAIPWd8fJxf/epX0g4/PDzE6/WyubnJ7u6u\nILBzc3OkUil2dnYkKVFo0OHhoYAb5XKZSCSCz+cjEokwNTXFyMgIqVSKFy9ecHJyAiDkejVIcnR0\nRL1eJ5/Pi3+oVCoMDQ0RiUQYGxujXC7jdrtZX19Hr9fz5MkTQqEQ1WoVr9fL06dPBRn1er1kMhks\nFgvPnz9neHiY+/fv88UXX2Cz2Xj+/DmZTIbr16+j1Wp59OiRtDBVzMxms5hMJsbGxtjc3CSbzfLs\n2TM8Hg+PHz/m2rVrQmdS3QsVQ2u1GolEQoCbnZ0d9Hq9XF8gEJA8Ynp6mufPn7O1tSVDhZVKRa3l\nrxUZ+weIVQ1qAAAgAElEQVSRjP3xH//xh/fv38fhcJBOp7FardKeKZVK5HI5bt++zcbGBlevXuXk\n5EQOUKlUksVRkzeBQED6/zs7O5LRl8tlKpWKHKJgMIjJZBJoW1UZqnLe398nHo8DX06hFItFpqen\npYWm0+nI5/MCc6pJQsUTisVinJycsLi4yOjoKHt7ezQaDV577TUMBgPlcplsNivkVKvVSiQSwe12\n43K5ZOJpdHSUVCpFs9mkUChIm09VmwB2ux2z2UwsFiOZTBKPx5mdncVoNHJ8fMyrr75KPB5nbGyM\nRqMh1Y7T6eTs7AybzUYkEhFuVTKZ5P79+8TjccbHxwVhW1tbo1AoUK/XaTQaTE1Nyfrv7OxIcqvI\nw0ajkZs3b1IoFKhWq2xtbclk6uXLl/niiy9kOka189Q0nCJkBwIBzGazXJ/i34RCIZxOp1TN2WyW\nxcVFqVrVMIZCXlU7QfE0XnvtNSKRyFd4V7FYDKfTSTqdZnh4mFKpRLPZlGTz7OyMYrHI5cuXSSaT\nwJfTablcDo1GI8luLpdDq9VK6ycWi8nETj6fJxQKyRSQ0Wik2+1Kha+C/Pj4OOvr63S7XXEcr732\nGuFwmKmpKQ4ODiTxsVqt1Ot1SXqz2Sxra2sMDAxwfHzMrVu36PV6xONxPB4PwWCQTqcDfIkWDw4O\nks/nSSQSLC0tSSBWqPTS0pK0QVUiqBInRYJ/+vQp4+PjpFIpUqmUoKPXrl3jk08+ke8dHBxEr9dL\n2zgcDjMwMCAt47OzM7xeL1qtVoYtIpEI9XqdQCAgyVUulxMOmEajkQRcEbwTiYTwz1TrLpvNsrCw\nQLPZFKRPEe47nQ6hUIhAIMDs7Cy5XI5IJCITZLVajZWVFan8T09PhUt18eJFQcAUH3JmZga9Xi/t\nH6/XKxw+NSWqUPBut0s0GsXr9XLp0iVcLhf7+/uCXC4sLIhvzOVyXLx4kWKxSLPZZHV1lYcPH9Js\nNgUFCgQCjI+PEw6HcblcRKNR5ufn8Xq9DAwMMDo6ysOHD7HZbNLSOj09ZXZ2llqtxsjICLlcDrvd\nTqVSYXR0VJ67SiQTiQSNRkN8ajab5fT0FJ/Px4ULFwgEArx48UIGbQqFAl6vV/ijy8vLkpSp6T2V\ntAeDQcxmM8PDw1itVmn1KuQ6m81SLpc5Pj7mvffeE97pzMwMrVaLs7Mzjo+PBdF+9uwZs7OzOBwO\nSqWSkO6Vr00kEqyurtJoNMhkMrz11lsMDQ0xMDBAIBBgd3dXBshmZmZoNBoy2NFoNFhcXKRarRKN\nRnn99deFd9VoNLDZbBgMBkqlEpFIhFu3bonvL5VKVKtVKpWK0D8UwuRyuYQXOzExgdPppNvtMjc3\nh16vZ2xsTFqnWq2W8fFxisWi8MRUu1EVJQpZU3s2FosJoh8IBFhbWyOfz4svdjqdHB4esrq6Kmjb\n6uoqo6Oj6PX6r3Czut0uu7u7rKysYDAYmJiYYG9vj2AwSDqdlkJ6aGiIcDjM8PCwcA+z2SzwZfIT\niUS4ePEiFouFcDhMu90mEAig0WgIhUI0Gg3hO5+enlIoFOTP1TorXpiiXyjyvslkolwuMzw8jF6v\nJxaLie9S8VL5+2q1yuuvv86DBw8YHx9Hp9PJhObNmzfZ2dn5tbcp/8EkYxcuXCCbzQpJ+OrVqxwc\nHDA8PEy/3xcnNDg4SLFYxOFwMDo6KvC9gm5Vm8DpdNJqtXA4HDI+ryDzWq0mfCx1+NW4uUI6FElW\nbXAVfFUSZbPZ8Pv9UhGoxOzixYuEw2Fu3rwpkyuVSoVms4nH4xEoWo36Khg3n8/TbDYZGhqSiUHF\nOVFB3O12f6XVo/rxzWYTv9+P0+lkdHRU/lzBvAoJUkRYNYKtRo4VV6nRaIgDUN+fy+UAyGQyBINB\nGeWenJwkHo/jcrlwOp1CclcJooKb1fqqVodyptVqVSDq4+Nj7HY73W6XyclJ4ae4XC7Gx8c5Ozuj\n2+1KZal4LYrvpvgaar1Uy8Rms1Gv16Wd8PIYtpqCPDs7IxgMUiqVCAaDcp3KSakEoNPpcOfOHcLh\nsLTLDw4OMJvN0j5WSNzQ0JDIBPj9fiEfK66Vag+oKTdFclXtcQW/9/t9pqamhMukEtFEIsGFCxek\n/dNut7Hb7SKToq7DZrNJYqM4ii6XS6pkldQ2Gg0uXLggEgdqbHxqaopGoyHSCslkEr/fL21ehYq8\nLKuiHLviLKkgqwoilcypEX+3243H45EioVAoyFSj1+sVtFW1HhXXJhgM4na7ZQJPFUdqsk+1tFSr\nRLWj1PNXSYvdbmdiYoKzszOMRiMul0u4b/1+X/yKRqPhwoUL5HI5mSpTLatKpSIJvqr61bUrDppq\neytun2qXqxbry+1wrVZLOp2m2+0yNTX1lSRG8SRdLpdIJaghJdU2VBxBn8/HyckJXq9XpD0UP0q1\nKPv9PnNzcxweHjI9PU2r1RLel8ViEfqGQqpVEunxeL4im6Oeo2qP6XQ6ZmZmyGQyMrGs7ledAYvF\nwvT0tCB8JpOJ0dFR4QOq1riS9wgEAuK/FJqr5H40Gg21Wo1ms0m9Xmd+fp5ut8vq6qoE/0KhgFar\nZWxsTKgLilyuhhbsdru0ohSHrVAoYDKZSKfTaDQauf+xsTFBi9Uwi9qTCsnpdrvSzTCZTPj9fux2\nu6xdu93G5XKxsrLC6emprHO5XGZ6epqTkxOMRqMg2na7XYo9Jfmj9vfZ2RlWq/Ur7TzF9VLtQ+WL\nqtUqIyMjsp6lUglAfK3VapWzrughCn1W8i5ut/srsUX9vtlsyh43mUzS1lWFtpIQ6vV6lEolZmZm\neOWVV4hGo+IblWSHStSVjFG325V9qtrJ6tf5fJ6BgQGRyyiVSiwuLlKpVIRSoehByv+pOAiIBJKi\nBjidTrlWNTDW6XTk3B0eHv5ak7F/EC8Kf1lvRyE82WxWJjaUvofD4RCUQ7Wo1AE5PT0VjRLFWVKf\no7gVqt2nHIw6aArSNRqNtFot0um0VBKq6qhWqxSLRUqlkjjuVCrF2dmZtCXUyKwKXIrbpjaT0rxR\nQUchTCqxUpW6IvoqtEbpINVqNSEkqsOvhh7UdEkymZTxa6VjpbhP6XRaiLBq8ksFZJ1Oh9lsxmg0\ninNSI+2KI6R4As1mUwYbcrkcmUyGVCr1FbK5Gq9WPKbT01NJpBR5XE14qUBSr9dptVoyvq5G2vV6\nPdlsFovFIuteKpWEoJvJZMhkMsJdOz09pVwuS9KgEBiXyyWBURHUDQYD0WiUVqsl/A1VqakBC0AQ\nm3a7TalUEkhbVdqqNaxa5ar6LBaLktwrTo3SZsvlcuh0OnHOpVJJEg69Xk+lUqFarUoCnMlkhBSv\nJlJLpRIajYZYLPYVMrC6TrV+6j/1941GQ1opRqNRJsUU7yoWiwnXTZ0Xdfbgf0wtqipakfnVZLQi\nGyvOmgqU7XZbJm4B0fHL5XJS3Z6dnVGr1fB4POKEFZ/QaDRKoqOCkjqTioyvZETgywmsXC4nRU2t\nVqNYLMr0ViKRwGg0ks1mZe+pQQK1R5vNpvgPdY1qz7+sw6XVaolGo8JfU4NFDodDeC5qLdS5VsmD\nCqBnZ2cS/BTqr+5xYGBA9qo6d0rSRCUoSmqn0WgI4quma1VrWCXQqs2YzWZFQ+tlyRglP6P0nhSJ\nWU1cq6CnJAPUc1B7b39/X2gEquWYTCZlKlQhzSqxUO1Ilcyp86R0pqrVqhCt1aTeyzpkKoaohFZN\nWqrWkkpOFGn8ZY2xarUqPkX56EqlIs9cFTFqgEj5wlKpRDqdFu6xosuooZZKpSItMqXDp/aW2q+K\nUqC00dT0dzqdplarUalUqNVq5HI5KpWK6Lmp+1aT5op3VigUZO82Gg2ZKgckrig/oBB3xZFWKH2x\nWJTnpoZ2VIKpitiXJ2NV21oVMQokUPp7SlaoVCqJZtjLJPpqtSqItvq96lqpdj4g66pa42q/KqqK\nuh6FdEejUSwWi9yf6rIorij8Dw0ys9ksNBKVqFWrVVFzKBaLAi6ouPDrtH8QyNi//bf/9sM//MM/\nZHBwkHg8TjAYJBwOMz8/LyTp3/3d3+Xo6Ij79++Ty+WEsNrpdIR8q6rV2dlZ0S+JxWJotVqWl5dp\nNpu43W4Z57179y4+n4+1tTVsNpsQzi9dusT09DTHx8ek02kWFxfZ2dlheXmZy5cvC3qidFpWVlZI\np9PMzc2J3peCRlOpFO+++y4LCwt8+umnBINB3nvvPdxut0wRAty/fx+v18uLFy+4fPkywWAQl8vF\n4OAgc3NzUtnG43GWl5dFU2VsbAyHw8Hc3BwOh4NwOCwH/O7du/j9fvL5PPfu3ZMJEZ1Ox61bt+h2\nu0xMTJDL5VhYWJAAcvHiRSqVCt/73vcolUqsrq6KrtE777wjk2WhUIiFhQVxEtVqVdoed+/eFXj6\n3XfflVH0ZDLJ/Pw8Op2Ot99+m7/8y79kZWVFnsvBwQELCwsizBmLxVhbW2NkZER4FwsLC+j1elZX\nV5mcnGRiYgKPx0M6neZrX/saACsrKwwMDFAulxkYGBC+4Pj4uHBOvv71r8t0pSJm1+t1Ll++LO0f\nJTtw69YtHj16hNvtRqvVyj2pSqpUKhEKhbDZbIIwqTax4k6Nj4+LlMqdO3cEsQ2FQrjdbmZnZ9Fo\nNCwuLjI9Pc3CwgJ//dd/zcjICMvLy3Q6Hb71rW9RKBS4cuWKtJUUZ89qtXJ2dsbly5fRarW8/vrr\nTE9P86tf/Yrf//3fF2h/amqKlZUVHA6H8NkmJydJJpM4HA7efPNNpqenefbsGVqtlpmZGd544w1B\nlYeGhoS3cenSJbxeL8vLyzx9+pRbt259JYCZTCa+9a1v8eLFC5xOJzdu3GBsbEyejUqOLly4gNls\nFjTk0qVLOJ1OVlZW8Hq9PHr0iJmZGUZGRqT1qs7h7u4u8/Pz1Go1FhcX6Xa7DA4OSjuvUqkwMTEh\nqOO9e/dk8GZ4eJijoyNu375Nr9fj+vXrhEIhGfiJxWIsLCwIL/ODDz7A4XDINdTrdaamprhz5w5O\np5Pp6Wlp/9++fRuv10swGJRWd6lU4tVXXwUQxGh0dFSq77W1Nd5++208Ho8kxJcvX+bSpUvCm1Q6\nayqJ/53f+R3+5E/+hFAoxPLyMk6nk4WFBZaXl6UF2+v1uHHjBjMzM8zMzLC0tMSjR4+klXn9+nU2\nNzf51re+hdlsloGK2dlZDAYDy8vLBINB/H4/Fy9elIJBoSGBQECkcubm5rhx4wazs7MibaNa2EtL\nSxQKBebm5rhz5w7/7b/9Ny5evIjT6cThcGCxWFhYWGB+fl6mP0dHRxkfHyefzzM1NcXo6Kho09Vq\nNb7//e/zySefsLa2xtramvCybDYb/X6fxcVFPvvsM7773e8KMd9kMrG1tcXt27eF83T37l0ZAPjm\nN78p/m14eJgXL16wuLiIy+XilVdekQn9tbU17HY7N27ckFbvd7/7Xebn52UK0mKxEAgExC9897vf\nFZFSnU6H1Wrl+PiYK1eu0O/3mZ6e5sKFC0xNTQkqPzc3x9LSEv1+nzfffBONRsPMzAxWq5V0Oi3P\nWxUTc3NzQopXQzbBYJCRkRG0Wq2Q09vtNpcuXeLChQtcuXJFBqJUi1Z1BMxmM/Pz81y6dIm5uTls\nNhsbGxu8//777O3tMT09TTQa5d69e0JrODo6YmlpiVKpxL1797Db7aytrXF4eMitW7dotVrMzc1R\nKBTknJ2envLee+8xNDTEkydPGBgYYGFhAZ/Px6VLl2g2mzx69Ej2UbVa5dVXX8VkMomm4/T0NHt7\nezIYl8lkmJ2dFWrI8vKyoMVKL61cLrO8vCzFjdvt5t133+XBgwfcuXMHn89HKBTCZDLx9ttvE41G\n2dra+v9em/JHP/rRhxMTE6L1k0gkuH79Os+ePfuKCrYiyyseTTAYlGlA1a8HpHJQOiT9fp+DgwPG\nx8epVqsyVq2IiLVaje3tbYEs0+k0R0dHMtURjUZ54403ePToEd1ul9PTU87OzkSgzmazUSwW2d/f\nl40wNzcnUPzR0RGZTAabzcbp6SmZTEZ0xSYnJ7FarYTDYcLhsCSk4XBYhglU9XB2dsbExASNRgOH\nw0E0GiWVSskYuhJtVeiRTqeT8fNCoUAqlZLR3UgkIiTgXq9HJpMRyYVsNsvBwQH9fp/19XU6nY4M\nOyhdqZmZGZ4/f87JyQkWi0X4MWoUWhEs1cTZ8fExhUJBWifpdFoqlMPDQzQaDZlMRtqHasx/YmKC\nra0tmbJVRN/9/X16vR4nJycih6LG2JWWmarg1SSP0odTrTjFYfN6vWxsbBAKhYjH4zSbTdF4e5nU\nev/+fT777DPh8/33//7f8Xg8NBoN4EuENxKJCBKpUIVEIiEB5ODgQGQ6FB8rlUrJ3lUcqEajwfPn\nz+UchEIh1tfXqdfrbGxsiFSKKkySyST1el2miHO5nOh7BQIBEomEiClGo1Ha7bboCKmpQpfLxd7e\nHsVikePjY5aWltja2qLdbhOPxyX5UMK9StNOaTQpEr5CsorFoqC38XicVCol2j9q2EEhDmoq8Ysv\nvuDChQvs7OzQ7/dFvkW18p8+fSpJiUJG1J5RYsBqSq3dbnNwcCBosjonLyNpiUSC8fFxtre3Of57\nvazPPvtMdN9Uyz8cDrO8vMzz58/JZrMiQTA5OUk0GuXo6Eg00Pb39ykUCsTjcfR6Pfv7+xwdHVEo\nFETzsF6vC0k8FouJXp0S6v34449pNpuMjY2xu7sriKO6D4U8KhRlYGCAk5MTDg4O5G0CZ2dn7Ozs\nCLKnhgjS6TSAIEHLy8tEIhFWVlZYX18nHo8LulKpVETHS/lZ9cxVq1mhaC6XS1Dwk5MTHA6HDBAs\nLS0JUry/vy8I3sLCggwXvfwsFHK5vr5Oq9UiEvlSX1OdY9VVUEiqXq/n+fPnlEolNjc3uXbtmnDd\nNjY2ZNBCKcCrNmgsFuP09FTWtlQqiYxMIpEgkUiIRtXm5qZoUKkpxWQyKejVgwcPhJ4QDod5+vQp\n1WqV6elp4a7Cl+jU8d/rXaqp4qtXrwpHMJPJEIvFGBsb45NPPqFer8tzVuf1wYMH4svV/WxvbwsC\nq7QYVTdEtcsV104hhWp6Ve3Rzc3Nr0wsl0olSZaq1SpHR0ccHh6K3hZ8iSIplDafz1MqlXj27Jn4\nAYU8f/LJJwCCKp2engrvTg0L1Wo1QSeVaoB6Pr1ej62tLS5dusTu7i6tVkv41PF4XAYa9vf38Xg8\nMkz0cltXadodHBzIOimdUoV4qgFB1dbN5XI8evRIpELUYMT/Jwn8P/7xjz9UE21f//rX8fv9/O7v\n/i5Pnjzh29/+NoFAgJ/85CfcvHmT9fV1JicnuXLlCgsLCywtLQlHYGxsjKWlJSqVCnfu3GF9fZ0b\nN25w/fp12u02i4uLGAwGAoEAV69e5fT0lOHhYZF+uHDhgvSVzWYz77zzDisrK5RKJf7JP/knslGH\nh4e5deuWCKh2Oh3eeustcrkcf/iHf8je3h4/+MEPMBgMLCwssLm5yfHxMT/84Q/p9XpEo1FGRkaY\nm5tjcnKSmZkZPv30U4aGhvid3/kdTk9PcblczM/PMzQ0hMFgIBQKMT09zVtvvUW5XObVV1+l1WoR\nCASYn5+nWq2ytLTE66+/LlISe3t7dDodbt68ydHREdeuXRONnFQqxfT0NM1mkzfeeAP4UkhToUJr\na2t89NFHXLt2jW63i8/n46233pLqWem5zM3N8eabb3Lnzh00Gg1LS0vcvn1byJwqIDudTt555x0m\nJydFd217e5sf/OAHJBIJLBYLZrOZb3zjG6TTaV599VUGBwe5e/eutAPv3r2L2Wym0WgIN05x24aG\nhrhy5QoHBwdcu3aNSCTC5OQkfr+fYDAo3AyFfKlqeW1tjcXFRRwOB++//z6hUEiGMtQY+tWrV0kk\nEvzwhz+kWCwyNTXF4eEh8/PzrK2tEQgEuHbtmvBFXn/9dS5dukQqlWJqaor79+8zOjoKgNPp5LXX\nXuPx48fcvXuXYDBIJBLB6XTS6/UEkVAo0Xe+8x0mJyfZ29tjdXWVg4MDAoEA/X6fy5cvYzAYGB8f\nl3WdmpoSrSOFyP3gBz/gL//yL7Farbz33nvMzs6ysbEhqK665ldeeQWLxcLW1hZut5vvf//7OBwO\nAoGATNEqdKDdbvPaa68JQb3b7XLv3j22trZ488035YxevHiRzz77jJs3b/LGG29IcqgQ3nv37hEK\nhYT3NTw8zOrqqsi1PHz4EIvFwg9/+EORYHG5XNy6dYvr16+j0+m4ffu2jOb3+33u3buHzWZjeXkZ\nt9vN/Pw8nU6H+/fvC4H43Xfflcr42rVrxONx3nnnHQ4ODuh0OtI+vnXrFqVSiZWVFd5//31+8pOf\nCIfzvffe4/bt2wA8f/4ck8nEzMwMw8PDXLlyhe3tbQYHBxkaGmJhYQGPxyOaWGoPKurE6uoqly5d\nwmq18vHHH6PVarly5QrBYJB4PE69Xhc0YWpqSiQCLl26xJ/92Z/xR3/0R/h8Pnq9nqBqiqOkEEWb\nzSZvU3C5XNy5cwe73c43vvENHj16xDvvvMMvfvELPB6P8HhqtRpjY2MipaAEb7/5zW9it9vx+XxM\nTEwwMzODx+NheXlZWjwDAwOi6fSP/tE/EsK/em6RSIR//s//OdlsltHRUdbW1piZmZGkRz1Tpfv4\n+uuviy8aGRlhZWWFYDDIZ599xne+8x0pinw+H9///vdJJpO8++677O3t8c4770iydvnyZS5evMir\nr75KNBoVhCsej4ufffbsGUajke3tbXQ6HW+++aZwI8/Ozrhx4warq6vEYjFBV91uN3fu3GFra4sX\nL17w3e9+F7PZzNe+9jVBRufn5/noo48IhUJC0p+dnRWEaWZmhkAgQKVSEaBhfn5euiFf+9rX+M//\n+T/LoILf7+eDDz7gxYsXnJ2dcfXqVRYWFgSthi8L2jt37mA0GnE6naytrWGxWLhz546gTeFwmH6/\nz+rqqnArp6en8Xg8rK+vozjdWq1WBGw/+OADPv/8c9555x1qtRpLS0t88cUXjI+Pk81mefvtt7HZ\nbFy5coW/+Iu/4MqVK2QyGb7+9a/z9OlTlpaWaLVavPXWW3znO9/hwYMHXLlyhRcvXlAul/n93/99\n/H4/1WpVhvteeeUViWMXL17ktddek/itUK9sNssHH3wgfm1mZkZQyNXVVWw2G263W+RVCoUCN27c\nkOT+zp079Pt9tre3+cY3vsHTp0/x+Xx4PB7MZjPr6+vcvn2bTz/99NeajGn6f/8esd+mDQwM9P/l\nv/yXouauiIj5fF60pK5cuUI4HGZiYoLt7W2pnBU8GYvFZBpCaV4FAgF+/vOff+U1PIoUvr6+LhNy\nLpdLeANKEFBxI9SDMxgM8u/VK3dUVaR0hnK5nEzcaLVakskkjUaDlZUV4X89ffqUmzdvkkqlpNqc\nnJwU3ROTySTj8Sp5UJNPKrFIJpPo9XoRxFTrpfgfanJkeHiYarVKuVyW1wqpAKCEahWMu7S0JBIT\nU1NT5HI5rl69yqNHjxgZGZEpE3U4tra2CAQC+P1+SSaKxSI+n08Io5FIBI1Gw+rqKj/72c+4ceOG\nTOC8ePGCN954gwcPHuByuYRkaTAYRHtKDUyoV4woorxSgFZEWtWuUMnMixcvpHV3cnJCKpXCbrcz\nPDwsrUiLxcLVq1fZ2dkRXkEwGBQirBItVUMYSkNNVYtzc3McHR0RCoVkX3Y6HY6OjhgeHhb+gnJS\nSoJicHBQJCiU5tLU1JS8WqZSqeDxePB6vTJir1TBI5EIa2trPHjwgMnJSb744guCwSCBQEBQh1gs\nJq+3Wl1dFbHeq1evsrGxweHhIXfv3uX4+FjkGdS77xQ6sbS0JLIAig+iJgGVlpKallQClErY0mAw\nkMlkZMJVTaOpdrQagFHoo3rFj9L4GRgYYHt7G5PJxM2bN8lkMiI+GovFGB8fx2g08uTJE+bn53nx\n4oUQ7A0Gg0jhfP755wwPDzMyMsKDBw8wmUySIA0NDVGr1UQQdXx8XL5ndHRUZDEUYqv4YG63m5mZ\nGXlrwenpKaOjozJgoHiE8CWCMzIyQj6fZ2Fh4SuSAoq/p5DzVqslosyVSoWvfe1rJJNJfvazn8m5\nVmKbT548Ed+mhkV8Pp9IXijRarfbjdfrFRmLZDIpn2Gz2WQ6WU3wKgRgenpaeIiq0Ol0OhgMBlKp\nFDabTQjmSkhXtZsODw+pVqtf0QB8+vSp/JtcLofL5cJut0uhoibjTCYTVquVaDTK+Pi4oEbq/YBq\nurpUKrGwsCCSGaVSiXfeeYcHDx7IEICSstnZ2REff3R0xMrKisQX9RYCpb/34sULmUKuVqu89dZb\nFItF4ZSl02kCgQD7+/siVqtQn2KxyL1799jb22N/f59r164RDAZZX18nnU7LlJ9qKV66dIl4PC7d\ngZf5UeFwmEAgIImv4qRNTEzIuxZDoZC8fUBNu6tXj21vb4tEkeoMOJ1Oef3Yy+8BVTIRLz8XhWQr\nIWL1ujzFTV5cXKTVaonY8uLiIuvr66ytrbG9vc3c3Jxo/Klug6JixGIxeSvG0NCQcGaVfqJCPNVA\nRqfTYXh4mGazKa9gUm8SmJiYkLfGTExMkEgkJOHN5/MMDg4KKqziiRq2UtxtNQ2vhtGUTIYayrl+\n/brQIyKRiJD5r127xi9/+Uv+03/6T4/7/f7VX1ce9A8CGfvRj3704SuvvMLp6alo6ijF9M3NTaLR\nKCsrK/zkJz9hdnaWzz//nEKhgMvlApDW0tbWlhDiHz58iNls5uTkRCBhNWWnNKoU+VOpaSstMzWu\nfHp6SiqVIp/Pi2zE0NAQ0WiUk5MTqYgWFxf52c9+JmR9Ve1Wq1XhVxkMBvmZYDAoiFGz2SSVSgkp\n+f/m7k2DGz/Pa88DgCRAcAMIECA2AiC4gDvZTfambrXWVsvabMuybkVJ5JpkPDNV46SS+ZByKlWR\nPLEdRWcAACAASURBVHGlUpnMeKpSlao7vqloHCeOpVhuyZHUkqVuSb03yWY3u7mBJLgC3Alu4AYS\n86F1TthzbxZP+YMnrHJZajVJAP///32f93nO+R2eCilWZVwPxwWMcBocHJSAk4sCozL29vbQ2dkp\nRtL169dRXl6uBYydP5LyKVC8efOmxj2dnZ2ora3FrVu31IYeGxsTvy0UCqktDEBuFkaLFBUVyTrN\nzl1PT4/GKFwIu7q6NFpcX1/H+vq67Mj7+/sPFEe9vb0SpHIjJG15f38fo6OjKC0t1Vh7fX0d9+7d\nk2M1FospZmlubg5VVVW4ceMG8vLyMDIygu3tbbFq+vr64HQ6MTU1hZGREdjtdnHM1tfX0d7ejps3\nb2J6elqbv9FoRDKZVOQShaMTExPKuIvFYrhz544KHY7Fqemgk4yOzkQioWip2dlZhEIhXLp0Sblx\n2WxWRT3jSji6IVT36tWrqKioQDKZFMCStvjFxUVMTk7C7/cjkUhgampKQbl3797FvXv3RIofHR1F\nPB6XELqrq0si2v39fbz//vuorKxUjJbZbNYCff36dQmxGRzPhIpEIiG2T1dXlw4TY2NjGruMjo6q\n4CSTbWRkBAAEduWYZmhoCB6PB7du3VIM2Pb2tnhJPDjs7+8rq5JRSZFIRPgYxgEx2YLOPbotp6am\nhN/h9wcCAXR3d2vMweebmxcdZePj44Lerq+vo7u7G93d3dKvTkxMSDNmMBhQXl6Ozz//XJscO/Yj\nIyPwer24evWqEkio/XM6nbhx48YDa1cmk9Hn9f777wtfwey/wsJCZfPyM2dxzM+ahSrxIhyBEinB\n5z8Siega7e/vC5B88+ZNwYxpxNrf31d0EOPgaDygaYX5rIyyY0xVU1MTrl+/jt3dXdjtdvT29mJ5\neVlYHBZjpaWlAtoSA8MilM59csSo38zJycHKygq6u7sl2qfLj6kdpLv39/djamoKzc3NWFtbw7Vr\n17CysoKKigpFeSUSCdTX1ys6LplM6sBDaQEF7y6XS88kHfSElcdiMaGdmMtKwf74+LikHBT0H9yX\nuKeNjo7KgchrduvWLSVQMLmhrKwMIyMjkmfwmkxNTcHlcmFrawtjY2MYHR3VFGJ1dVWsSU4+mHjQ\n29sLp9OJWCwm5mRZWRlWV1cxODiotAnKU9h4sNls6O7ullRmYGBAnz2jxbhXfPbZZ0q/4b62t7eH\nK1euID8/H8lkUtFijNzj7+EItKmpCQMDA5IOMa6O/LdEIvEf003JIoI0ZDrBuKhQEEw8A+fhS0tL\nclMwZJWEdLPZrAiPdDot0a/FYpFjhg4kujUZccSWNzeD3d1dAPcdbQwW5WskAJMnSDpulpeXZTHm\nKeRg9lUqlVKXhG49Rnawe0N2Gd0wgUBA7hw6c6gJI/w2nU7rxE3mFjdQEpYZecIFhigAOgxJIOfI\nhp873TiEwVKPwmKRgdf8PTzNJhIJuFwu5YPR+bS3tycoJTEPdKtSk8ITGpla3DhmZmYe0LUAkOaA\nQdUsaHZ2doTCYEjs5uYm7Ha7NlqOoOkcnJ+fl6tvc3NTUS4A9NBT2M0QXIq3c3JytNHQaMIFpaSk\nBDs7O3LS0ZXIMQA/d26cPPVS8M4OGl1/ZrNZxWwqlXogMmR7exslJSUwmUwqxMvLy6U94smfDj8u\nWsTFEGHA38uwXI7o6Qzd39/X/c1inyMlWvBphiCQmDgKwk7X1tYUhUKQLlEIPCnTjUqMADl91LAw\nWYLJEYQMb2xswOFw6F4lxJJRLLwOS0tL2NzclHuP3VB2YXhYobua7jG6f3la5+vhiJ3keGo7qZfk\n/ctx5sF4mvn5eayvr8vxza49cF9vQ4cyn02mfBgMBn3fzs6O3JXUadEtxw4b9TRra2vY2trSe+Y6\nRJc5Y8ToMGcKCtFD/B1msxmZTAazs7OYmppS1zqZTCo3mIYfOr+JsJiYmJBjj+9na2sLnOAwwJm/\ngw76/Px8AJCbns8+D7ZbW1s6fMzMzGjN47Wje5LaLK73KysrYsTxOaOTl9qyVCollx0nDgaDQesW\nD1tFRUX6TDOZjFzlZFhy/+HzddAtn5eXh/n5ee0le3t7D3wfGXDLy8vSbTJh4+B9Q5wLAI2ZuU/x\nEMjMV0KRicfgdGR/f1+aPTpB2cmnfo56SzLsOOJl5CBHjwczWenMZkRgSUmJ4vvopqaRzOl0quNF\nFz7vl+3tbVRWVor36XA45Jz0er3qwvI97+3tad9jQg/xU7u7u9pXqZEjmuWX/fUr0Rn70z/909fs\ndjuuX78uHszZs2fx7rvv4ujRo7BYLIKcMoPS6XSioaEBLpdL4zZuhAsLC6isrJQ4u6KiAn19fWho\naFCrmFUvM8cYWMqMxlQqhZMnTyIYDCKZTOJLX/oSPv30UzHDSP1mEUGB9XPPPYeLFy/i+eefx+bm\nJioqKtDb24t4PI5Tp05hcHBQIkrgfovU6/Xixo0bWFxcxIkTJ3D79m0MDg4i9EVsyszMDPLz86Xx\noUuModKE5NpsNjlFaOvu7+9HVVUVBgcHFfNDYT85O6FQSAUOXUBWq1XdovX1dUxNTSm1IBgMorS0\nFN3d3TCbzfD5fHKfMaanr68PbrdbQvzFxUUBNXk6293dRWtrq3LSNjY28Nhjjyksl3oKBug2NjaK\n6s2xRTKZ1CjJ5XJhcHAQDodD73d3d1dj5tXVVWXFud1ujIyMIDc3F+Xl5Zibm5ObibgUXlsGRv/G\nb/wGOjs74fV6sbCwgGQyKb4atX3z8/Oora3Ve3c4HPD5fHA4HLKzE6bocDjg8XgQi8UwMzOD3d1d\nFBQUYGhoSNpCapsoPmdXlnw3irm5OXq9Xr3ujY0NxGIxnDhxAjdu3EAikUBNTQ1yc3PR19eHra0t\ndUUikYhGFoODgxgeHsZXvvIVYV94ii0vL9em5Xa7VWzevn0bLS0tGBkZQTAYhMPhkFtzYGBAUTeX\nL19W0WixWNDQ0IDS0lKNJlZWVpTvenDEePz4cUxOTkrsHolElJhx+PBh5OTkCM5aWloq1ydHFjSd\nGI1GDAwMoLa2FrOzs9jb28Phw4dx48YNBAIBLC8v4/bt24JfciQGAA8//DA+/vhjrK6uCjocjUax\nurqK69evY3p6WkBSt9uNW7duCT3AMbzH48Hly5elb2OwOiOucnNzEY/H0d/fj/z8fFRWVioEndmD\nhFRT8H/nzh2cOnUKm5ubGqGyoGAgNTerra0t9PT0wGq1IhQKYWNjA8ePH8fnn3+O06dP48KFCzI1\nhb6IRTOZTJicnFT3ZWRkRDFzHN8yLqmsrAwLCwtKPmDBcebMGXVuef+vr69LP+RyucR5vHXrltZI\nHqxGR0eV6UiMgsfjgc1mk5tvcHBQ3fXHHnsMa2triEajuHLlCh566CH09PRgY2MDTU1NyMvLQygU\nknCdkG/CTicmJmRkmpiYQFtbm7RM8/PziEaj8Hg8mJqaEtqFaSbxeFwdc8o9xsfHBdwdHh7G8vKy\n8jdLS0tx8uRJcbbS6TQGBgbg9/vR2dmpKC9mAff09GB2dhb9/f2wWq1oaWlRB5+5oCx2JicnUVRU\nhEAgoPUpHA5rbEs4bFdXFxKJBPLy8pRxys5+LBaD0WhEIpHAwsIC+vv7sbu7i4aGBsRiMdTX1yOV\nSsHr9aKrqwtFRUUyHXGM2NXVhcXFRU0AkskkCgsLcevWLTQ1NeHLX/4yrly5ArfbjXv37iEej+Ps\n2bPY29tDLBbD4uKixrncAwsLC9HY2KgR5b1792QsO3r0KEZGRtDa2ipjwUEz4NzcnMxX7HAS1xQM\nBtWpbW5uRn9/v2LzaFDIyclBPB7//0c25S/yxRwzwgMJHDx06BAKCgpgNpsFPaR4c3l5Wd0bCvQ2\nNzcRDocxNTUlfQdwXzR96NAh3fxcuCsqKlR5p1IpncTZieC4hu3tqqoqZZqRc8M4IxZCFNTz1AEA\nNTU1YmBVV1criyudTiuTsra2VsLX6upquN1uQfnIbyoqKpKYn6+fkSALCwvwer3akFwuF3Z3d1FX\nVwen06n8LXacCExkIeFyudRWps2cuoLCwkKUlpaiuLgY1dXVKC8vh91uR319vRAEDocDLpdLoEzm\nVkYiEVRXV+vvpNNpdYYKCwthNBoVPk42mt/vV2eIVHNCLDOZjETuHCFQ80dURGNjo0ZKfK3s3vB+\nIqCS3xeJRIQA4Kl3b29PfLLGxkaYzWZEo1EBW6kD4fVkwcVTFwOfOYLjSNlgMKCgoABut/sBPRD1\nEYR9EuJaXl6OgYEBeDwedZoIQXU6ncKysFAymUyw2WwqBPm7gsEgioqKhEQg+JOjFOYtFhcXw2Qy\nqcuUn58vLh0/g0QioS4nXWKkzrNYKCsrE1qBhev8/DwcDodyUm02m6C1yWRSOZk1NTXKU2XHOxgM\n6l5hV4MAT3Zi2QXk2J5O2pycHAEz+c+hL8KgS0pK0NbWps+SrENCNqurq7GzswO3243W1lYsLi4K\n0Gqz2VBZWamuAOnkRKkAUF4pAcXt7e1wuVx6/li4AvczA7kJsOtRVVWFYDAoI8HBVA5Ckk0mE3w+\nHwoLC9VFLy8vF7mckW37+/vIz8+H3+8X+JNYFavVisbGRkxNTQkXw2vO10sKOfMCqW3is8d/zsnJ\nQTQaVWeHgn46jZuampQDXFtbC4vFgtLSUmVoulyuBzrXzAe0WCxwOp1i2TG7l/gN8hCNRqNSOI4f\nPw6LxSLHd0FBARwOBwoLC4UioQmI0FFm+y4sLCgInlMbHpoMBgMCgYC4kB6PR5o8MsQYaUUuGxER\n1G6xE06dbTqdFnyWOAeDwYDm5mbk5eXBarXKHFRVVaXPnxBkBtYz25L3HzNsmVhClAzXF96HZG7l\n5+cjHA6r+DeZTHpe2NnNzc2Fy+USLiOdTqOpqUn3O7WKXH8IaLfZbEJ2sHnAGKry8nKN7gm75TUq\nKCgQOogHx/z8fJnJWCdQm8rECa5j3EOZV5rJZKSfJF/zYOJLOBxGXl4e6urqtC5w/6E29Jf59SvR\nGfuLv/iL115++WVR9g0GA+7du4f8/HyN8s6ePYuJiQnFIfX09GBkZAQjIyMCfTLCpbS0FMlkEo2N\njfjggw/UhozH44o1YF5ZOp3WAkJBJRf7rq4uCR8vX74sOnMsFhOpm2wyOpSoTejr68Pt27cxNjaG\n48ePw+Px4M6dO0gkEnj44YcV9dPX1weTyYSmpibs7OxIwMnNkMRoanUIxxwdHYXRaERBQQEWFha0\n0H722WeihB85cgQWiwUzMzM4duwYenp6UFVVJcQEi0rml83NzWF8fByRSARra2t4+umnMTExocBV\n2uCXl5dx9epVFTU3b97EZ599phFCLBZDc3MzBgYGUFJSgqamJmWW3bhxA+FwGBMTE3jqqadw7tw5\nhMNhFUA0BnAMeO/ePUW/TE1N6XTPsQYDeBmH1Nrait7eXj1wyWQSExMTGv9SvLm5uYmzZ89ibGwM\nQ0NDMBqNitgiQZsRUFtbW3C5XLhw4QKy2Szi8ThaWlp0kmWnjrBPWqhzc3MxOjqK/Px8ubNsNpui\nNwikpGicowiGnBcXF+MnP/kJiouLUVVVpQip0dFR1NXV4f3331cqgclkQiqVwvDwMBoaGjA+Po6q\nqiplo7700ktYX19HZ2cnIpGINu2NjQ11Vjs7O7G6uoojR47AYDAgFotpnNze3o50Oi0xPdExoVAI\nAODz+dDT0wOv14tbt26pa7y/v4+2tja8//77KC4uRmVlpdISOMbq7+/H/v4+TCYTPB4PLl68KCYS\nuy7Xr1/H5OQkotEobDYbPvroI1gsFvT09ODmzZsyO4TDYeXpcRP/4IMP1LmZmZlBTU0NFhYWFKNE\nYfT6+rpG6Q6HA/F4XPop2vUfeeQRbeiffvqpurgskig3MJvNWrSbmpqQSCQQDodx69YtVFdXPxBk\nzRFmPB5HNpvF888/D6vViuvXr2NqagrBYBCRSAQApNFigPf29jba29vx4x//WMUS4ZYejwczMzMw\nGAwYHh5GIBDQnxcXF6OrqwtutxtXrlxBSUkJPv/8c5w8eVLSDAqtaTzhGL6iogIjIyMyEu3u7sLv\n98sUwg10Y2MD3d3d2NraQmdnpwxZBCBXV1fjjTfeQElJiTSsd+7cQWNj4wPJFS6XCzk5OcL9sLhf\nW1vD0NAQXn75ZXz88cc6UBQWFmJoaAjr6+vSrb733nt46KGHxC5MJpPCqHi9XsTjcVRVVUk/9uKL\nLyq/k1m7oS+SGurr67G8vKxJzuLiIs6cOYNsNotLly7h9OnTaG5uRiwWw8rKipI6tre3MTExgaef\nfhpzc3NIJpMa4d+6dQs1NTUYGBjQwZcHChqMrFYrZmdn0d7erq4oR9jBYBCBQAB37tzB4OAgvF6v\nRmsWiwWfffaZEj84BqUcZ29vT45s6q4ACPtw5MgRQZqbm5tRVlamPMuWlhZcvHgRXq8XnZ2dOH78\nOLa3t+H3+3HhwgVEo1HMzc3hyJEjKvhu376NYDCo0e3Y2Bju3r0Lt9uN8fFxhL5gAnZ2dqqjnkql\nlAfd2dkpDfTg4CDq6uqUPcus4bW1NczNzWFxcVE1AYPbQ6GQpDZ7e3sy2FRXV0uPur29jePHj+P8\n+fOor6/XWNtsNuPxxx9Hd3c3YrHYfzy0xZ/8yZ+8xoeZOiByc7gpZrNZ9Pb2Coy6s7OjnDt2xaj9\noZaAOYHU6zCXkHEfdBVSrM8WMRlUfCDGx8dx6NAhuR2Xl5exvr4u90sgEBCzqKqqSuMp3hibm5tY\nXV2VNoet/sXFRUU68eHkyY5ZlCz45ufnsb29jdLSUukseIrhiIqRPiaTSdyn6elp8YHIYKKgky1p\nOoKYNUhRqNlsRnd3tzIeqS2IxWKIRqPSgxQXFyMajUo7QZ0PdXPl5eUS+VosFjlbWfRQ8J7JZGC3\n2xUkvbu7K0cYO2cFBQXY2dlR6gEFwywsCJ7l6JrMGX5uLK4ojKaejBE38/Pzul4ckzAepLm5Gbdu\n3ZKDkUHp7IpQw0GHEADFYXEhIMOJFvmysjJpgxjnxP8+Pz8Pt9uNyclJlJSUoL+/Hw6HA729vYrw\n4EhqdnZWlHmymPb29sR5IyuMCQTUWaytrWF6eloaC3KJNjY24HK50NPTg5ycHLGGyFiiDoefP/VV\n1Mnw9Dw5OQmbzaYRCkPYV1dX9XoJ8t3d3cWdO3dQW1sr7SB1hCaTSdFZFKPTDMARH+neMzMzDzik\nrVYrMpmM8upICDeZTLpedNG53W4VYBwFMhw9HA6L60Zqvc/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1VcUfx4IcN3LMWVFRgby8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\n0kAWY5IkSQNZjEmSJA30HQ/mhLUUXQK8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x224c153d860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Inline Question #1:** Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your Answer**: *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 29.761831 seconds\n",
      "One loop version took 63.264463 seconds\n",
      "No loop version took 0.428132 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# you should see significantly faster performance with the fully vectorized implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "\n",
    "X_train_folds = np.array_split(X_train,num_folds)\n",
    "y_train_folds = np.array_split(y_train,num_folds)\n",
    "\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "\n",
    "for k in k_choices:\n",
    "    for n in range(num_folds):\n",
    "        # Concat all our folds together except for the nth fold for training.\n",
    "        current_train_fold_x = np.concatenate(tuple([X_train_folds[i] for i in range(num_folds) if i!=n]))\n",
    "        current_train_fold_y = np.concatenate(tuple([y_train_folds[i] for i in range(num_folds) if i!=n]))\n",
    "        \n",
    "        # Select the held out fold to be our test data.\n",
    "        current_test_fold_x = X_train_folds[n]\n",
    "        current_test_fold_y = y_train_folds[n]\n",
    "        \n",
    "        classifier.train(current_train_fold_x, current_train_fold_y)\n",
    "        \n",
    "        # Perform prediction on our test set, default is to use no loop version.\n",
    "        y_test_pred = classifier.predict(current_test_fold_x, k=k)\n",
    "        \n",
    "        # Evaluate and store in k_to_accuracies dict.\n",
    "        num_correct = np.sum(y_test_pred == current_test_fold_y)\n",
    "        if k not in k_to_accuracies:\n",
    "            k_to_accuracies[k] = [float(num_correct) / current_test_fold_x.shape[0]]\n",
    "        else:\n",
    "            k_to_accuracies[k].append(float(num_correct) / current_test_fold_x.shape[0])\n",
    "\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mPUJeXh7h4eGtxsLDw8nLywtSRSIiIt1DCwykR2haRKDVoCIicrJRWOvl1i8uZ9eWShob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\n662auhdoNaiISO/kchkmDOrLhEF9fe2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b2cckvSTpYkm/lTR5w1pVFNaaDh3JPqy1xmEt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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x224866ebd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
